RIT shares how their engineering faculty and University of Rochester Medical Center cardiologist have teamed up to develop technology that will be able to determine the lifespan of a heart valve with more precision.
Patients living with VADs have frequent check-ups and testing to ensure the VAD and heart are functioning properly. If heart health is declining, it may require invasive procedures to determine if the symptoms might be due to reduced pump performance.
The team’s solution is to use advanced signal processing technologies with machine learning to classify the health status of both the patient and the VAD. They will also build into the system data analysis processes, specifically forward predictions applications, to anticipate the need for early interventions.
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